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Fixing Roadside Breakdown Ops

Fixing Roadside Breakdown Ops

My Role

My Role

My Role

Sole client facing, principal designer

Summary

The Shifting Sands of Rostering Management

The Shifting Sands of Rostering Management

I redesigned the entire call centre and fleet management systems for Australias largest roadside breakdown service, from the tarmac up.

My Actions

My Actions

My Actions

Designed —12 Micro-Personas —19 user flows/wireframes/interactive prototypes —4 Hi-fi prototypes —135 components —8 micro-animations Facilitated —14 moderated user contextual enquiries —12 initial stakeholder workshops + 10 followup sessions —5 SME discovery workshops

My Impact

My Impact

My Impact

-165

-165

seconds per job

seconds per job

-$6.6m

-$6.6m

per year

🎯 -$2m

per year

🎯 -$2m

+18%

+18%

job completion rate

🎯 +10%

job completion rate

🎯 +10%

Scroll to explore

The organisation

One of the largest roadside breakdown services in Australia, considered the 'best-in-class'

—3.1 million members

—1 million + jobs per year

—$256 million revenue per year

3.1m

active members

3000

jobs created per day

$356m

turnover per year

The challenges

Breaking down on the Sydney harbour bridge, or worse still, in the outback for 4 hours under the baking hot sun, with no water, snakes, and even crocodiles.

People, when they break down in less than ideal situations, can become quite stressed out and irrational.

From an HR perspective, calltakers are typically younger people with a very high churn rate so onboarding and training is a huge repeating expense.

Current state


The apps:

Calltaker - fielding calls + creating cases

Dispatcher - assigning cases to service providers, and complex case and fleet management

Discovery

Goals

Understand the end-to-end lifecycle of a job. How they are created, assigned, complete and what hurdles are encountered by all users involved.

Methods

I personally facilitated:
—14 moderated user contextual enquiries
—12 initial stakeholder workshops + 10 followup sessions
—5 SME discovery workshops
—8 Information Immersion 🧽 workshops
—Synthesised findings
—Mapped 73 flows to match current system features

Findings & Insights

  1. 20 year old systems

  2. Frankenstein design with workarounds-as-core-process

  3. Trust gap with system data

  4. Business rules creating friction

  5. Country complexity magnifier

  6. Notification overload & mis-prioritisation

  7. Expensive onboarding with 62 page scripting guide

Persona Design

Exemplar Research

Wireframes

Image Aspect Ratio

Set up the component by adding image to the component properties.

Image Aspect Ratio

Set up the component by adding image to the component properties.

Image Aspect Ratio

Set up the component by adding image to the component properties.

Image Aspect Ratio

Set up the component by adding image to the component properties.

Sketch

Flows

Ideation

Sketch

Style guide

Component library

Animation

Validation

—20 co-creation sessions with various super users/SMEs/Stakeholders

—6 technical review sessions

—5 design demo presentations

—21 user testing sessions over 2 iterations

—Qualitative data analysis: before and after fleet travel time per job

So, how did it go?

So, how did it go?

So, how did it go?

The MVP release which only included the eco-system and minor features, has already reduced service provider travel time by 165 seconds per job

With 30,000 jobs per month that equates to around $6.6m per year, well beyond the cost saving goal of $2m

The other executive defined goal for the programme of work was to increase the Job completion rate from 72% up to 80%. This has moved up to just over 90% since release

Stay tuned for more updates as the applications are in the build phase

The MVP release which only included the eco-system and minor features, has already reduced service provider travel time by 165 seconds per job

With 30,000 jobs per month that equates to around $6.6m per year, well beyond the cost saving goal of $2m

The other executive defined goal for the programme of work was to increase the Job completion rate from 72% up to 80%. This has moved up to just over 90% since release

Stay tuned for more updates as the applications are in the build phase

-165

seconds per job

-$6.6m

per year

🎯 -$2m

+18%

job completion rate

🎯 +10%

The solution

The solution

The solution

End-to-end happy path flow demo to illustrate main features of the Calltaker app

End-to-end happy path flow demo to illustrate main features of the Calltaker app

Demo displaying the AI recommendation feature

Demo displaying the AI recommendation feature

Demo of the two main screens for the Dispatcher app AI insights feature

Demo of the two main screens for the Dispatcher app AI insights feature

Get in touch

Let me know if you would like to have a chat

Get in touch

Let me know if you would like to have a chat

Get in touch

Let me know if you would like to have a chat